An enhanced-performance Al-air battery optimizing the alkaline electrolyte with a strong Lewis acid ZnCl2

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Heating and cooling of buildings account for around 15% of all global energy consumption. In light of the ongoing energy transition, we aim to improve the efficiency of both in a European single-family house by using photovoltaic-thermal collectors with a ...

Halide perovskites have demonstrated remarkable efficiency in photovoltaics. However, their application is restricted by their limited operational stability. To address this, layered hybrid perovskites (LHPs) provided a more stable alternative. They incorp ...

Printed electronics offers a pathway to low-cost, flexible, and scalable device manufacturing by enabling direct patterning of functional materials on diverse substrates. However, current ink systems-typically based on silver nanoparticles or polymers-are ...

Energy piles represent an innovative technology that can help provide sustainable geothermal heating or cooling energy for thermal conditioning purposes. In hot-dominated climates, the interest is to inject heat in the ground and extract energy for space-c ...

Correlating the microstructure of an energy conversion device to its performance is often a complex exercise, notably in solid oxide fuel cell research. Solid oxide fuel cells combine multiple materials and interfaces that evolve in time due to high operat ...

The aggravation of climate change calls for the timely development and implementation of highly efficient, renewable, zero- or negative-emission energy solutions with high technological readiness and feasibility levels. Solid oxide fuel cells (SOFC) consti ...

The adaptive social learning paradigm helps model how networked agents are able to form opinions on a state of nature and track its drifts in a changing environment. In this framework, the agents repeatedly update their beliefs based on private observation ...

This paper presents a numerical study assessing the seismic performance of steel moment-resisting frames (SMRFs) designed with ductile exposed column-base plate (ECBP) connections employing yielding anchor rods. For their potential use as weak bases, the p ...

A robust capacitive multisensory readout system is presented in this article. The system consists of a few thousand lossy capacitive-based sensors that can be modeled as a parallel connection of sensor capacitor and undesirable leakage resistance. The real ...

Solving the dendrite growth problem is critical for the development of lithium metal anode for high-capacity batteries. In this work, a machine learning force field model in combination with a self-consistent continuum solvation model is used to simulate t ...

Offshore wind farm modelling has been an area of rapidly increasing interest over the last two decades, with numerous analytical as well as computational-based approaches developed, in an attempt to produce designs that improve wind farm efficiency in powe ...

III-N light-emitting-diodes (LEDs) are subject of intense investigations, thanks to their high efficiency and great reliability. The quality of the semiconductor material has a significant impact on the electro-optical performance of LEDs: for this reason, ...

Existing works for depth estimation and image deblurring in the presence of depth-dependent blur work with the assumption of a multi-layered scene wherein each layer is modeled in the form of a fronto-parallel plane. In this work, we attempt to relax these ...

Large deep neural network (DNN) models pose the key challenge to energy efficiency due to the significantly higher energy consumption of off-chip DRAM accesses than arithmetic or SRAM operations. It motivates the intensive research on model compression wit ...

Loop closure detection helps simultaneous localization and mapping systems reduce map and state uncertainty via recognizing previously visited places along the path of a mobile robot. However, visual loop closure detection is susceptible to scenes with dyn ...

This study investigates the use of a low cost microphone combined with state-of-the-art machine learning (ML) algorithms as online process monitoring to differentiate various materials and process regimes of Laser-Powder Bed Fusion (LPBF). Three processing ...

Determining the relationship between the cause of damage and the subsequent structural behavior of infrastructure systems requires an accurate characterization of the propagation of cracks, which represents the evolution of the damage state. When no inform ...

An enhanced-performance Al-air battery optimizing the alkaline electrolyte with a strong Lewis acid ZnCl2

Chattez avec Graph Search

A multi-modal nocturnal radiative cooling and solar-assisted heating system with model predictive control

Enhancing the Functionality of Layered Hybrid Perovskites

Scalable 2D Nanomaterial Inks and Precision Gravure Printing for Printed Electronics

Performance of energy piles foundation in hot-dominated climate: A case study in Dubai

Operando analysis of a solid oxide fuel cell by environmental transmission electron microscopy

Readiness evaluation of SOFC-MGT hybrid systems with carbon capture for distributed combined heat and power

Discovering Influencers in Opinion Formation Over Social Graphs

Probabilistic seismic performance assessment of steel moment-resisting frames considering exposed column-base plate connections with ductile anchor rods

Robust Analog Multisensory Array System for Lossy Capacitive Sensors Over Long Distances

Revealing Morphology Evolution of Lithium Dendrites by Large-Scale Simulation Based on Machine Learning Force Field

Offshore wind farm wake modelling using deep feed forward neural networks for active yaw control and layout optimisation

Greenberg's Force Prediction for Vertical-Axis Wind Turbine Blades

Defects in III-N LEDs: experimental identification and impact on electro-optical characteristics

Multi-planar geometry and latent image recovery from a single motion-blurred image

Non-Structured DNN Weight Pruning--Is It Beneficial in Any Platform?

PlaceNet: A multi-scale semantic-aware model for visual loop closure detection

Differentiation of materials and laser powder bed fusion processing regimes from airborne acoustic emission combined with machine learning

Determining crack kinematics from imaged crack patterns